Earthquakes could be early predicted as demonstrated by animal’s behavior that are able to detect the leading wave part of the seismic wave (the P-wave). P-waves travel faster than S-wave wave (the shaking wave), so they reach the seismic sensors early (tens of seconds to minutes in advance) compared to the P-wave. A bioinspired framework could be implemented mimicking the animal’s behaviour related to the event of an incoming earthquake. Training a Fuzzy Neural Network to recognize the P-waves, early prediction of earthquakes is feasible and an adequate recovery strategy could be implemented. A technological motivation is the availability of OTS (off-the-shelf) vibration sensors and the fast development of IoT (Internet of Things) toward the new paradigm IoE (Internet of Everything).

Bioinspired Early Prediction of Earthquakes inferred by an Evolving Fuzzy Neural Network Paradigm / M. Malcangi, M. Malcangi (COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE). - In: Engineering Applications of Neural Networks / [a cura di] J. Macintyre, L.Iliadis, I. Maglogiannis, C.Jayne. - Prima edizione. - [s.l] : Springer, 2019. - ISBN 9783030202569. - pp. 361-367 (( Intervento presentato al 20. convegno EANN2019 International Conference tenutosi a Xersonisos nel 2019 [10.1007/978-3-030-20257-6_30].

Bioinspired Early Prediction of Earthquakes inferred by an Evolving Fuzzy Neural Network Paradigm

M. Malcangi
;
2019

Abstract

Earthquakes could be early predicted as demonstrated by animal’s behavior that are able to detect the leading wave part of the seismic wave (the P-wave). P-waves travel faster than S-wave wave (the shaking wave), so they reach the seismic sensors early (tens of seconds to minutes in advance) compared to the P-wave. A bioinspired framework could be implemented mimicking the animal’s behaviour related to the event of an incoming earthquake. Training a Fuzzy Neural Network to recognize the P-waves, early prediction of earthquakes is feasible and an adequate recovery strategy could be implemented. A technological motivation is the availability of OTS (off-the-shelf) vibration sensors and the fast development of IoT (Internet of Things) toward the new paradigm IoE (Internet of Everything).
Earthquake; Seimic waves; EFuNN; Biomimetic; Early Prediction; Vibration sensor; Internet of Everything
Settore INF/01 - Informatica
International Neural Network Society - University Piraeus - Democritus University of Thrace - Springer CCIS
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/656791
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